Laminar

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Laminar: The open-source platform for AI agent developers. Monitor, debug & improve agent performance with real-time observability, powerful evaluations & SQL insights.0
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What is Laminar?

Laminar is the comprehensive open-source platform designed for developers building AI agents. It addresses the critical challenges of monitoring, debugging, and improving agent performance in production, empowering your team to deliver dependable AI solutions with confidence.

Key Features

  • 📊 Real-time AI Agent Observability: Gain immediate insights into your agent's behavior. Laminar provides real-time tracing of long-running agents, automatic error capture, and detailed visibility into tool calls and structured outputs, ensuring you can debug issues as they happen.

  • 🧪 Powerful Evaluation Framework: Streamline your agent performance improvements. With a zero-boilerplate evaluation SDK, you can quickly write and run sophisticated evaluations, iterate on prompts in an interactive playground, and catch regressions before they impact users.

  • 🔍 SQL-Powered Data Analysis: Unlock deep insights from your agent data. Laminar offers a built-in SQL editor to query all traces, evaluations, datasets, and events, allowing you to create custom dashboards and transform queries into evaluation datasets efficiently.

  • 🌐 Extensive Integrations & SDK: Get started quickly with broad compatibility. Laminar's best-in-class SDK enables easy tracing, and it automatically integrates with popular LLM frameworks and SDKs like LangGraph, CrewAI, OpenAI, Anthropic, and many more, often with just a two-minute setup.

Use Cases

  • Proactive Debugging: Immediately identify and resolve issues in complex, long-running AI agents by observing real-time traces and automatically captured errors, preventing extended downtime or poor user experiences.

  • Rapid Iteration & Improvement: Accelerate your development cycle by quickly testing new prompts and models in the Playground, then validating performance improvements and catching regressions with comparative evaluation runs before deployment.

  • Custom Performance Monitoring: Tailor your monitoring strategy by using SQL queries to define and track custom metrics relevant to your agent's specific goals, visualizing these insights through personalized dashboards.

Why Choose Laminar?

Laminar stands out by offering a unique combination of power, flexibility, and transparency that directly addresses the needs of modern AI development teams:

  • Fully Open-Source: Laminar provides complete transparency and extensibility, allowing you to self-host for full control or leverage our managed cloud service. This open approach fosters a community-driven development model.

  • Highly Scalable Architecture: Built with Rust, Laminar is engineered for performance, capable of ingesting hundreds of millions of traces daily. You can scale your AI operations without concerns about system bottlenecks.

  • SQL-Native Data Access: Unlike many platforms, Laminar offers direct SQL access to all your agent data—traces, evaluations, datasets, and events. This empowers advanced analysis, bulk dataset creation, and integration with your existing data workflows via a SQL API.

  • Affordable at Scale: Begin with a generous free tier and expand your usage without unexpected costs. Laminar imposes no limits on the number of spans you can ingest, ensuring cost-effective growth for your AI applications.

Conclusion

Laminar empowers developers to move beyond guesswork, providing the essential tools to build, monitor, and continuously improve reliable AI agents. By combining robust observability, powerful evaluation capabilities, and flexible data analysis, Laminar helps you ensure your AI agents perform as expected and deliver tangible value.


More information on Laminar

Launched
2025-08
Pricing Model
Free Trial
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used

Top 5 Countries

100%
Germany

Traffic Sources

3.69%
1.67%
0.21%
13.63%
43.18%
36.53%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 25, 2025)
Laminar was manually vetted by our editorial team and was first featured on 2025-09-07.
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